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The viterbi algorithm is a dynamic programming algorithm that finds the most likely sequence of hidden events that would explain a sequence of observed events [2][3] his work in the viterbi algorithm and in advancing the understanding of coding theory in general influenced the design of modern digital. The result of the algorithm is often called the viterbi path.
A viterbi decoder uses the viterbi algorithm for decoding a bitstream that has been encoded using a convolutional code or trellis code Among other things, he is generally credited with being the first to recognize the optimality and practical importance of the viterbi algorithm, and his tutorial paper on the subject is widely cited There are other algorithms for decoding a convolutionally encoded stream (for example, the fano algorithm).
Iterative viterbi decoding is an algorithm that spots the subsequence s of an observation o = {o1,., on} having the highest average probability (i.e., probability scaled by the length of s) of being generated by a given hidden markov model m with m states.
And invented the viterbi algorithm. List of pdf software this is a list of links to articles on software used to manage portable document format (pdf) documents For example, some viewers allow adding of annotations, signatures, etc Some software allows redaction, removing content irreversibly for security.
Typically, the soft output is used as the soft input to an outer decoder in a system using concatenated codes, or to modify the input to a further decoding iteration such as in the decoding of turbo codes Examples include the bcjr algorithm and the soft output viterbi algorithm. The viterbi semiring is a commutative semiring defined over the set of probabilities (typically the interval ) with addition operation as the maximum (max) and multiplication as the usual real multiplication [1][2] carrier set ( )
, the set of probability values from 0 to 1 (inclusive).
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